Author Info
Name
Affiliation
Papers
JIAN K. LIU
Univ Med Ctr Groningen, Dept Ophthalmol, Gottingen, Germany
23
Collaborators
Citations 
PageRank 
50
20
8.77
Referers 
Referees 
References 
53
481
177
Search Limit
100481
Title
Citations
PageRank
Year
Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks10.372022
Robust Transcoding Sensory Information With Neural Spikes00.342022
Regulating Synchronous Oscillations Of Cerebellar Granule Cells By Different Types Of Inhibition00.342021
Dissecting cascade computational components in spiking neural networks00.342021
Dynamic Spatiotemporal Pattern Recognition With Recurrent Spiking Neural Network00.342021
Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks00.342021
Modulation Of The Dynamics Of Cerebellar Purkinje Cells Through The Interaction Of Excitatory And Inhibitory Feedforward Pathways00.342021
Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks10.352020
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.20.362020
Simultaneous Neural Spike Encoding and Decoding Based on Cross-modal Dual Deep Generative Model00.342020
Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation.00.342020
Reconstruction of natural visual scenes from neural spikes with deep neural networks.20.902019
A unified neural circuit of causal inference and multisensory integration.00.342019
Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation.00.342019
Computational modelling of salamander retinal ganglion cells using machine learning approaches.00.342019
Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks.10.372018
Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal Circuits.00.342018
A simple blind-denoising filter inspired by electrically coupled photoreceptors in the retina.10.372018
Bioinspired Approach to Modeling Retinal Ganglion Cells Using System Identification Techniques.10.362018
Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization.00.342018
Revealing structure components of the retina by deep learning networks.10.352017
Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains.40.452016
Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the Retina.60.502015